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Resources for Graph Embedding

Lectures

• CS224W : Machine Learning with Graphs
• NLP-Progress: Relation Prediction

  Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Blogs

• Knowledge Graph: The Perfect Complement to Machine Learning
• A gentle Introduction to Graph Embeddings
• Deep Learning on Graphs: Successes, Challenges, and next steps

Translation-Based model 관련

Knowledge Graph은 주로 Translation-Based Model 위주로 발전해왔고,
`TransE` -> `TransH` -> `TransR` -> `CompleX` ...
와 같은 순서로 모델이 발전되었음.

• Translating Embeddings(TransE)

  TransE가 정확히 어떤 식으로 동작하는지를 정리

• Summary of Translate Model for Knowledge Graph Embedding
• Learning Entity and Relation Embedding for Knowledge Graph Completion

  Knowledge Graph에 대한 핵심 모델 중 하나인 TransE, transH, transR을 비교한 글

Random-Walk Based Model 관련

• 한글 자료 : random walks + Word2Vec
• Random Walk in Node Embeddings(DeepWalk, Node2Vec, LINE, and GraphSAGE)

github repositories

• sergibro/github-recommendations
• facebookresearch/kbc
• facebookresearch/PyTorch-BigGraph
• DeepGraphLibrary
• phanein/DeepWalk
• OpenKE - An Open-source Framework for Knowledge Embedding
• ZichaoHuang/TransE

Papers

• A Survey on Knowledge Graphs: Representation, Acquisition and Applications
• REV2: Fraudulent user Prediction in Rating Platforms : Graph 관계를 바탕으로 사기 행동을 판별